Farzin SALMASI, Mohammad Taghi SATTARI, Mahesh PAL

Application of data mining on evaluation of energy dissipation over low gabion-stepped weir

Results of a study designed to examine the behavior of gabion-stepped weirs for energy dissipation are presented in this paper. Laboratory tests were conducted with 8 physical models consisting of 3 different porosities (38%, 40%, and 42%) and 2 slopes (1:1 and 1:2). An iron plate was also placed on each horizontal and vertical step to study and classify the effect of step porosity on the energy dissipation rate. A decision tree technique was used to derive if-then rules in order to classify the energy dissipation through the weir models. Results from this study suggest that a decision tree model has an accuracy of 85% in predicting the energy dissipation through a gabion-stepped weir using different attributes. The results demonstrate that the decision tree technique can be used as a reasonable method for classification of different parameters involved in energy dissipation through a gabion-stepped weir, and it can effectively identify the influence of various parameters on energy dissipation.

Anahtar Kelimeler:

Key words: Decision tree, energy dissipation, gabion, porosity, slope, stepped weir

Application of data mining on evaluation of energy dissipation over low gabion-stepped weir

Keywords:

Key words: Decision tree, energy dissipation, gabion, porosity, slope, stepped weir,

PDF

___

Breiman L, Friedman JH, Olshen RA, and Stone CJ (1984) Classifi cation and Regression Trees. Wadsworth Belmont, California, USA.
Chanson H (2001) Th e Hydraulics of Stepped Chutes and Spillways. A.A. Balkema Publishers, Lisse, the Netherlands.
Chanson H (2006) Hydraulics of skimming fl ows on stepped chutes: the eff ects of infl ow conditions. J Hydraul Res 44: 51-60.
Chinnarasri C, Donjadee S, Israngkura U (2008) Hydraulic characteristics of gabion-stepped weirs. J Hydraul Eng ASCE 134: 1147-1152.
Foody GM, Mathur A (2004) A relative evaluation of multiclass image classifi cation by support vector machines. IEEE Transactions on Geoscience and Remote Sensing 42: 1335-1343.
Gonzalez CA, Takahashi M, Chanson H (2008) An experimental study of eff ects of step roughness in skimming fl ows on stepped chutes. J Hydraul Res 46: 24-35.
Kells JA (1993) Discussion of spatially varied fl ow over rockfi ll embankments. Can J Civ Eng 20: 820-827.
Matos J, Quintela A (1994) Discussion of jet fl ow on stepped weirs. J Hydraul Eng ASCE 120: 443-444.
Pal M, Mather PM (2003) An assessment of the eff ectiveness of decision tree methods for land cover classifi cation. Remote Sens Environ 86: 554-565.
Pal M, Mather PM (2004) Assessment of the eff ectiveness of support vector machines for hyperspectral data. Future Gener Comput Sys 20: 1215-1225.
Peyras L, Royet P, Degoutte G (1992) Flow and energy dissipation over stepped gabion weirs. J Hydraul Eng ASCE 118: 707-717.
Quinlan JR (1993) C4.5 Programs for Machine Learning. Morgan Kaufmann, California, USA.
Rajaratnam N (1990) Skimming fl ow in stepped weir. J Hydraul Eng ASCE 116: 587-591.
Stephenson D (1979) Gabion ener gy dissipaters. 13th International Congress on Large Dams, New Delhi, India, Q. 50, R. 3, pp. 33-43.
Toombes L, Chanson H (2008) Flow patterns in nappe ﬂow regime down low gradient stepped chutes. J Hydraul Res 46: 4-14.
Witten IH, Frank E (2005) Data Mining, Practical Machine Learning Tools and Techniques, 2nd ed. Morgan Kaufmann, California, USA.